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Engineering guides.
28 practical guides on Kubernetes, DevOps, cloud, observability, security and AI: how the pieces fit, the commands and config that matter, and the pitfalls to avoid.
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GitOps with Argo CD
GitOps principles, pull versus push delivery, and how Argo CD applications, sync policies, Helm and Kustomize sources, RBAC, SSO and sealed secrets work together.
Read the guide →Helm Charts Explained
A practical tour of Helm: chart structure, templates and values, dependencies, hooks, the release lifecycle, testing, and automating chart delivery in CI.
Read the guide →Kubernetes Cluster Administration
Day-two Kubernetes administration: scheduling controls, resource monitoring, kubeadm upgrades, etcd backups, RBAC, storage, networking and a troubleshooting workflow.
Read the guide →Kubernetes Networking, Scaling and Scheduling
Kubernetes Services and pod networking, ConfigMaps and Secrets, autoscaling with HPA and cluster autoscaler, advanced scheduling, security hardening and extension points.
Read the guide →What actually happens inside a Kubernetes cluster
The control plane components, what each one does, and how a single kubectl apply turns into a running container. Plus probes, rollout strategies and admission control.
Read the guide →HashiCorp Vault Essentials
An overview of Vault: architecture, seal and unseal, auth methods, policies, secrets engines, dynamic secrets and leases, Vault Agent, and high-availability storage.
Read the guide →Kubernetes security fundamentals
A practical checklist for securing a Kubernetes cluster, from the 4 Cs of cloud native security to secrets encryption, runtime sandboxes, network policies and node hardening.
Read the guide →Cilium and eBPF: Kubernetes networking without iptables
How Cilium uses eBPF for pod networking, identity-based network policy, kube-proxy replacement, encryption and observability with Hubble.
Read the guide →Consul Service Discovery and Mesh
A guide to Consul: server and client agents, service registration and discovery, health checks, the KV store, service mesh with intentions, ACLs, and gossip and TLS encryption.
Read the guide →Istio Service Mesh
Why use a service mesh, how Istio's control and data planes work, traffic management with VirtualService, DestinationRule and Gateway, mTLS, authorization and observability.
Read the guide →OpenTelemetry Explained
A practical overview of OpenTelemetry: signals, API versus SDK, instrumentation, context propagation, baggage, OTLP and the Collector pipeline.
Read the guide →Prometheus Monitoring Basics
How Prometheus scrapes, stores and queries metrics: exporters, metric types, PromQL, recording and alerting rules, Alertmanager routing and securing scrape targets.
Read the guide →API Testing with Postman
Use Postman collections, variables, environments, authentication and test scripts, then automate runs with the Collection Runner, monitors and Newman in CI.
Read the guide →Docker From the Ground Up
How Docker works under the hood: images and layers, writing good Dockerfiles, networking, volumes, Compose, and the commands you reach for every day.
Read the guide →Git Internals and Workflow
Understand Git from the inside out: objects and hashes, commits and branches, merge versus rebase, stash, restore and reset, remotes, pull requests and feature branches.
Read the guide →GitHub Actions and Workflow Security
How GitHub accounts, authentication, Actions workflows, runners, environments and reusable workflows fit together, plus practical secrets handling and hardening advice.
Read the guide →Jenkins CI/CD Pipelines
Jenkins explained: controller and agent architecture, freestyle jobs versus pipelines, Jenkinsfile syntax, credentials, triggers, SCM, Ansible and Maven integration, and security.
Read the guide →Terraform Fundamentals
Core Terraform concepts: the plan and apply workflow, state and remote backends, variables, modules, loops, lifecycle rules, data sources, secrets handling and multiple providers.
Read the guide →Ansible Playbooks and Automation
A practical guide to Ansible: inventory, modules, playbooks, variables, handlers, roles and idempotency, with the commands and patterns used in day-to-day automation.
Read the guide →Argo Workflows and Argo Events
Build container-native pipelines with Argo Workflows templates, steps, DAGs and artifacts, and trigger them from external events using Argo Events sources, sensors and triggers.
Read the guide →AWS Compute, Storage and Networking Essentials
A concise guide to EC2 purchasing options, EBS, EFS, FSx, S3 storage classes, VPC design, load balancing, Route 53, CloudFront and the main AWS database choices.
Read the guide →AWS Identity, Accounts and Governance
How AWS regions, IAM, MFA, Organizations, Identity Center and Control Tower fit together to keep multi-account environments secure, governed and observable.
Read the guide →AI Infrastructure and GPU Computing
How AI data centers are built: GPUs, CUDA, NCCL collectives, high-speed networking and interconnects, virtualization, and the tools used to monitor GPU fleets.
Read the guide →AWS Generative AI Services
A practical overview of Amazon Bedrock, prompt engineering, fine-tuning, RAG, Amazon Q, managed AI services, SageMaker and responsible AI practices on AWS.
Read the guide →Azure AI Fundamentals
A practical overview of machine learning basics, Azure Machine Learning, Azure AI services, generative AI with Microsoft Foundry, and responsible AI harm mitigation.
Read the guide →LLMs and RAG in plain English
What a large language model actually is, how it differs from older machine learning, and how retrieval-augmented generation (RAG) lets it answer from your own data.
Read the guide →Apache Kafka Essentials
Kafka fundamentals: topics and partitions, producer acks, retries and idempotence, consumer groups, brokers and replication, KRaft versus ZooKeeper, Connect and durability.
Read the guide →Machine Learning on AWS
From data ingestion with S3, Kinesis, Firehose, MSK and EMR to the SageMaker workflow, evaluation metrics, overfitting, deployment options and safeguards.
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